Senior Software Engineer β AI/ML Enthusiast
"Driven by curiosity, I thrive on learning new technologies and pushing boundaries in AI/ML."
- Experience: 5+ years in AI/ML
- Languages & Tools:
Python, HTML/CSS, Node.js (basic), SQL, Azure tools
LangChain, FastAPI, ChromaDB, Groq, Celery, YOLO, GPT-4/4o, RAG, NLP - Fields: Retrieval Augmented Generation (RAG), agents, NLP, computer vision
A solution for knowledge management and Q&A:
- Upload videos or text transcripts along with a category, store them in a vector database (ChromaDB) for RAG.
- Query the database with questions and categories to retrieve contextually relevant answers.
- Stack: LangChain, FastAPI, ChromaDB, Groq
Utility bill graph analysis tool:
- Utilises a YOLO model to detect and crop graphs from images.
- Used Roboflow to annotate images.
- Uses GPT-4 to determine if the graph represents an electric graph; if so, extracts the bar values and calculates the annual consumption.
- Stack: YOLO, GPT-4, Python
End-to-end text classification system:
- Trained a GPT-4o-based model for document classification.
- Performed extensive data analysis and preprocessing for optimal results.
- Stack: Python, GPT-4o, Data Science/NLP libraries
- Reading books (especially on tech & AI)
- Exploring new technologies and trends
- Networking with like-minded professionals
- Gaming
- Spending time with my pet